Concrete deliverableResponsibility matrix
01Partner owner
02HAY AI role
03Client contact
We deliver AI services under your brand. You keep the client relationship and control the commercial model.
Choose the partner bottleneck that feels familiar.
Add a behind-the-scenes technical delivery layer while keeping your client relationship.
Use specialist delivery capacity only when projects require it.
Package AI audits, chatbots, automations and custom builds into your existing offer.
Bring us into discovery, architecture and estimation under an agreed role.
Use one delivery process, QA standard and escalation route.
Define communication, branding, ownership and handoff rules before delivery begins.
Turn a client requirement into a scoped, branded AI offer with delivery responsibilities, review points and reporting clear from the start.
Clarify the client problem, required workflow, integrations, controls and the boundary of the first delivery.
Structure the solution, deliverables and assumptions so the partner can explain what is included without overpromising.
Implement the agreed AI workflow while keeping roles, communication and approval responsibilities clear.
Summarise progress, measured results, open issues and recommended next actions in a format ready for the client relationship.
Illustrative only, not a client case study. Final scope and outputs are agreed in the proposal.
Select only the partner capabilities needed for the first client engagement; broader delivery capacity can be added after the operating model is proven.
White-label AI Delivery under Your Brand: A scoped delivery package using the branding and client-contact rules agreed with your agency.
Add AI delivery capacity while keeping commercial ownership and visibility rules clear.
Choose the model based on how much client ownership, branding, delivery capacity and technical responsibility your team wants to retain.
| What matters | Referral to another provider | Agreed partner delivery |
|---|---|---|
| Best fit | You want to introduce a specialist | You want delivery inside your agency’s offer |
| Client contact | Arranged with the receiving provider | Visibility and contact rules agreed in advance |
| Delivery oversight | Depends on the referral arrangement | Shared milestones, QA and acceptance checkpoints |
| Responsibilities | Defined by the parties’ agreement | Written scope, change rules and support ownership |
Capabilities, responsibilities and ongoing support are confirmed in the agreed scope.
See a sample first pilotEvery deliverable supports one partner responsibility: offer design, delivery ownership, client handoff or recurring support.
Your clients keep asking for AI services you cannot deliver in-house
Hiring AI engineers is slow, expensive and hard to justify for uncertain demand
Referring AI work out means risking your client relationship
Grouped so you can see the scope without reading a catalogue.
Yes. We agree visibility, communication and branding rules with you before the project begins.
We agree the delivery model, responsibilities and commercial structure before the first client, based on expected volume and scope.
The partner remains the commercial owner unless a different arrangement is explicitly agreed for a specific project.
We agree a change-request owner, approval path and handover criteria. Ongoing support, response expectations and end-client communication are defined in the partner scope.
Send us the workflow, problem or idea you want to discuss. We’ll reply within one business day.
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